Data Architect

🔥 14 hours ago

🇧🇪 Belgium – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ARHS Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

ARHS Group is a company specializing in providing advanced and reliable information systems. They offer a comprehensive range of IT solutions and services, including software development, data science, infrastructure scaling, digital trust, mobile development, machine learning, and cloud integration. Their solutions are tailored to meet specific project requirements, ensuring delivery on time, within budget, and within scope. With offices in multiple European cities, ARHS Group positions itself as a key player in IT project execution and digital transformation services.

📋 Description

• Lead technical assessment of corporate data, ETL/integration and reporting/dashboarding platforms against business and technical requirements • Translate business and migration requirements into technical specifications and target data architectures • Analyze existing BI/DWH architectures, databases, data models, ETL processes, integrations, reports and dashboards • Identify dependencies, gaps, migration constraints and technical risks • Design target architectures and migration approaches, including transition scenarios, data mappings, sequencing, validation, cutover and coexistence • Prepare and support technical proofs of concept • Prepare and monitor technical implementation of migrations with BI/DWH teams and service providers • Design data integration solutions using ETL/ELT processes and tools • Develop or adapt jobs and pipelines for migration and operational needs • Create, adapt and optimize conceptual, logical and physical data models • Perform hands-on database analysis, SQL, data profiling and mapping, ETL/ELT development, troubleshooting, validation, optimization and migration • Monitor and optimize data systems, databases and pipelines for performance, scalability and reliability • Maintain and improve technical and business metadata, data lineage and documentation • Implement data profiling, validation and cleansing processes • Contribute to data governance covering data quality, lineage, access controls, metadata and data cataloguing • Collaborate with business users, data engineers, BI and AI specialists and other technical teams • Improve data suitability for AI and agentic use through appropriate structures, identifiers, relationships, metadata and provenance • Assess and prototype modern data-management technologies, including SQL/NoSQL databases and semantic or graph-based representations • Share expertise and promote good practices, standards and tools across BI/DWH, data and AI teams • Stay current with developments in data platforms, integration, analytics and AI-related data architecture

🎯 Requirements

• University degree (EQF 6: Bachelor's level or equivalent) • Minimum 12 years of professional IT experience • Minimum 2 years’ experience in enterprise data architecture and platform assessment, including BI, data and integration environments • Minimum 2 years hands-on with enterprise relational databases/DWH, including SQL analysis, troubleshooting and performance optimization • Minimum 2 years hands-on with ETL/ELT and data integration tools, developing, adapting and troubleshooting pipelines • Minimum 2 years applying data modelling across conceptual, logical and physical layers, including 3NF, Data Vault, dimensional/star-schema approaches • Minimum 1 year involved in enterprise data/BI/DWH migrations • Ability to understand, speak and write English • Knowledge of French would be considered an asset • Ability to work in a team as well as autonomously • Ability to participate in multilingual meetings • Excellent interpersonal and communication skills • Results-oriented mindset, focused on delivering • Strong experience assessing data, data integration/ETL and reporting/BI platforms • Proven experience designing, preparing and supporting enterprise data and BI/DWH migrations • Strong hands-on experience with enterprise relational databases and SQL-based data warehouse environments • Experience with Oracle environments particularly relevant • Strong knowledge and practical experience with ETL/ELT, data transformation, orchestration and batch-processing pipelines • Strong knowledge of relational/3NF and dimensional/star-schema data modelling • Experience with enterprise BI and reporting architectures • Knowledge of modern data platform and warehouse/lakehouse architectures • Experience with relational data stores and knowledge of NoSQL and graph-based approaches • Knowledge of metadata management, data lineage, cataloguing, master/reference data and data quality practices • Experience with data profiling, validation, reconciliation and quality controls • Understanding of privacy, security and compliance requirements for enterprise data platforms • Knowledge of API and interoperability standards, including SQL and REST-based interfaces • Experience with DataOps and software-engineering practices, including version control, automated testing, deployment and environment promotion • Knowledge of enterprise data architecture methods, standards and documentation practices • Understanding of requirements for AI- and agentic-ready enterprise data • Knowledge of semantic modelling, knowledge graphs and ontology-based approaches is an advantage • Mandatory: TOGAF, CDMP, DAMA-DMBoK, or ISO data governance standards certification, or equivalent • Ability to work effectively across business, BI/DWH, data engineering and AI teams

🏖️ Benefits

• Comprehensive health insurance plan from day one • Meal allowance through a ticket restaurant card • Impactful projects at national and European level • In-house training sessions • Wide range of online learning opportunities • Collaborative culture with regular celebration of achievements and milestones